DefaultDoc is a data science-based service for default risk assessment and monitoring.
Inspired in part by epidemiological studies and disease prediction, DefaultDoc® uses similar methods to assess Subcontractor business health and monitor your portfolio's default risk.
Solutions for the Risk Conscious
Initial Risk Assessment
Assess Subcontractor risk to estimate default-related losses and reduce underwriting risk
​
​
Test each Subcontract for 210 leading indicators of default, using historical data to fine-tune the prediction
Ongoing Risk Assessment
Actively monitor Subcontractor progress and continually recalculate estimated default losses on your projects
​
​
Leverage all collected data to continually recalibrate the predictive model
Expert Due Diligence
Actively monitor Subcontract risk; provide expert due diligence and loss estimation
Monitor estimated losses to help keep exposure below loss ratio targets or risk tolerance
A different approach.
1 Verified Data
Every model input is tested and manually verified for accuracy, plausibility, and reasonableness. Poor quality data is omitted.
2 Scientific Methods
DefaultDoc® adheres to strictly prescribed procedures for data collection and analysis to ensure consistency in results.
3 Quantified Risk
Risk and estimated loss is represented in dollars, instead of scores or modality statements.
4 Identifiable Risk
We alert you when risks cannot be properly assessed so that you may make informed decisions about your risk portfolion.